Survey of scheduling research involving due date determination decisions

Cheng, T.C.E.; Gupta, Mahesh

doi:10.1016/0377-2217(89)90100-8

Cited by 435 publications

(148 citation statements)

References 52 publications

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“…Researchers developed polynomially or pseudo-polynomially solvable algorithms for special cases where conditions for i α and i β are imposed (Cheng & Gupta, 1989;Hall et al, 1991;Hoogeveen & van de Velde, 1991;Kahlbacher, 1993). Studies employing meta-heuristics (Lee & Kim, 1995;James, 1997;Feldmann & Biskup, 2003;Hino et al, 2005) and dealing with this argument are even more recent.…”

Section: Introductionmentioning

confidence: 99%

Uric acid as a risk factor for progression of non-diabetic chronic kidney disease? The Mild to Moderate Kidney Disease (MMKD) Study

Sturm

Kollerits

Neyer

et al. 2008

Experimental Gerontology

153

109

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Section: Introductionmentioning

confidence: 99%

Uric acid as a risk factor for progression of non-diabetic chronic kidney disease? The Mild to Moderate Kidney Disease (MMKD) Study

Sturm

Kollerits

Neyer

et al. 2008

Experimental Gerontology

153

109

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“…In the literature, few works treat scheduling problems with the due-date assignment decision being of primary focus. Among the most significant contributions, Cheng and Gupta [48] review due-date assignment approaches up to 1990, whereas Gordon et al [46] review more recent publications (up to 2002). In most works, the due-date assignment problem is treated using benchmarking instances [49], single-resource problems [50,51] or is focused on assembly shops [52].…”

Section: Order Due-date Assignmentmentioning

confidence: 99%

A mobile application for knowledge-enriched short-term scheduling of complex products

2016

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The ever-increasing product complexity, especially for the case of engineer-to-order products, highly affects the performance of manufacturing systems. Therefore, a high degree of flexibility is needed during daily decision-making activities, such as production scheduling. For addressing this challenge, this research work proposes a knowledge-enriched short-term job-shop scheduling mechanism, which is implemented into a mobile application. More precisely, it focuses on the short-term scheduling of the resources of the machine shop, through an intelligent algorithm that generates and evaluates alternative assignments of resources to tasks. Based on the requirements of a new order, a similarity mechanism retrieves successfully executed past orders together with a dataset that includes the processing times, the job and task sequence, and the suitable resources. In addition to that, the similarity mechanism is used to calculate the due-date assignments of the orders based on the knowledge stored in past cases. Afterwards, it adapts these parameters to the requirements of the new order so as to evaluate the alternative schedules and identify a good alternative in a timely manner. The deriving schedule can be presented on mobile devices, and it can be manipulated by the planner on-thefly respecting tasks precedence constraints and machine availability. A case study from the mould-making industry is used for validating the proposed method and application.

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“…Numerous works have been conducted for a long time and various approaches have been discussed such as mathematical programming [1], heuristic dispatching methods [2], and so on. For detailed evaluation of a production schedule, simulation needs to be performed.…”

Section: Introductionmentioning

confidence: 99%

A Distributed Production Scheduling Method for Highly-Distributed Manufacturing Systems

Morinaga¹,

Sakaguchi²,

Wakamatsu³

et al. 2014

Lecture Notes in Computer Science

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Part 2: Knowledge Discovery and SharingInternational audienceRecent development of computer network technologies is realizing highly-distributed manufacturing systems from the hardware point of view, where each facility is computerized and manages itself autonomously by communicating with other facilities. For this new type of manufacturing systems, a new discrete event simulation paradigm has been discussed, in which sorting of events is performed by exchanging messages about their occurrence times among the facilities. To make this paradigm beneficial enough, it is desirable that re-scheduling process performed after the simulation is carried out in a similar paradigm. We have developed some production scheduling methods for flexible flow-shop production of only one kind of products with just one stage. This paper presents an improved method which can be applied to flexible flow-shop of multiple kinds of products with multiple stages

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Survey of scheduling research involving due date determination decisions

Cited by 435 publications

References 52 publications

Uric acid as a risk factor for progression of non-diabetic chronic kidney disease? The Mild to Moderate Kidney Disease (MMKD) Study

Uric acid as a risk factor for progression of non-diabetic chronic kidney disease? The Mild to Moderate Kidney Disease (MMKD) Study

A mobile application for knowledge-enriched short-term scheduling of complex products

A Distributed Production Scheduling Method for Highly-Distributed Manufacturing Systems

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